Advances in Information Retrieval (eBook, PDF)

42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II
Redaktion: Jose, Joemon M.; Martins, Flávio; Silva, Mário J.; Ferro, Nicola; Castells, Pablo; Magalhães, João; Yilmaz, Emine

• Format: PDF

Produktbeschreibung

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.*

The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named:

Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR - general; question answering, prediction, and bias; and deep learning IV.

Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials.

*Due to the COVID-19 pandemic, this conference was held virtually.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 682
• Erscheinungstermin: 10. April 2020
• Englisch
• ISBN-13: 9783030454425
• Artikelnr.: 59176886

Inhaltsangabe

Reproducibility Papers.- Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned.- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines.- From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance.- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants.- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.- Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments.- On the Replicability of Combining Word Embeddings and Retrieval Models.- Influence of Random Walk Parametrization on Graph Embeddings.- Short Papers.- Calling attention to passages for biomedical question answering.- Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction.- A Latent Model for Ad Hoc Table Retrieval.- Hybrid Semantic Recommender System for Chemical Compounds.- Assessing the Impact of OCR Errors in Information Retrieval.- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions.- Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders' requirements.- Session-based Path Prediction by Combining Local and Global Content Preferences.- Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers.- Irony Detection in a Multilingual Context.- Document Network Projection in Pretrained Word Embedding Space.- Supervised Learning Methods for Diversification of Image Search Results.- ANTIQUE: A Non-Factoid Question Answering Benchmark.- Neural Query-biased Abstractive Summarization Using Copying Mechanism.- Distant Supervision for Extractive Question Summarization.- Text-Image-Video Summary Generation using Joint Integer Linear Programming.- Domain Adaptation via Context Prediction for Engineering Diagram Search.- Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.- Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.- A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling.- MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching.- Ranking Significant Discrepancies in Clinical Reports.- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning.- Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs.- Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation.- PMD: An Optimal Transportation-based User Distance for Recommender Systems.- On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts.- SlideImages: A Dataset for Educational Image Classification.- Rethinking Query Expansion for BERT Reranking.- Personalized Video Summarization based exclusively on User Preferences.- SentiInc :Incorporating Sentiment Information into Sentiment Transfer without Parallel Data.- Dualism in Topical Relevance.- Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings.- Easing Legal News Monitoring with Learning to Rank and BERT.- Generating query suggestions for cross-language and cross-terminology health information retrieval.- Identifying Notable News Stories.- BERT for Evidence Retrieval and Claim Verification.- BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction.- On the Temporality of Priors in Entity Linking.- Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.- DAKE: Document-level Attention for Keyphrase Extraction.- Understanding depression from psycholinguistic patterns in social media Texts.- Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification.- Aspect-based Academic Search using Domain-specific KB.- Dynamic Heterogeneous Graph Embedding using Hierarchical Attentions.- DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.- Demonstration Papers.- A Web-based Platform for Mining and Ranking Association Rules.- Army ANT: A Workbench for Innovation in Entity-Oriented Search.- A Search Engine for Police Press Releases to Double-check the News.- Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results.- Revisionista.PT: Uncovering the News Cycle using Web Archives.- MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup.- NLPExplorer: Exploring the Universe of NLP Papers.- Personal Research Assistant for Online Exploration of Historical News.- QISS : an open source image similarity search engine.- EveSense: What can you sense from Twitter?.- CLEF Organizers Lab Track.- CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims on Social Media.- Shared Tasks on Authorship Analysis at PAN 2020.- Touché: FirstShared Task on Argument Retrieval.- Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers.- ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications.- LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges.- BioASQ at CLEF2020: Large-scale biomedical semantic indexing and question answering.- eRisk 2020: self-harm and depression challenges.- Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020.- ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents.- Living Labs for Academic Search at CLEF 2020.- CLEF eHealth Evaluation Lab 2020.- Doctoral Consortium Papers.- Reproducible Online Search Experiments.- Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval.- Graph databases for Information Retrieval.- Towards a better Contextualization of Web Contents via Entity-level Analytics.- Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon.- Time-Critical Geolocation for Social Good.- Bibliometric-Enhanced Legal Information Retrieval.- Workshops.- International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020).- Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition.- The 3rd International Workshop on Narrative Extraction from Texts (Text2Story'20) (full day).- Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages.- Tutorials.- Principle-to-program: neural methods for similar question retrieval in online communities.- Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval.- The Role of Entity Repositories in Information Retrieval.